A5100738365- Radiomics and Machine Learning in Medical Imaging
- Hepatocellular Carcinoma Treatment and Prognosis
- AI in cancer detection
- Medical Image Segmentation Techniques
- Advanced X-ray and CT Imaging
- Advanced Neural Network Applications
- COVID-19 diagnosis using AI
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Advanced Image Processing Techniques
- Physical Unclonable Functions (PUFs) and Hardware Security
- Parallel Computing and Optimization Techniques
- Medical Imaging Techniques and Applications
- Brain Tumor Detection and Classification
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Viral Infections and Vectors
- Advanced Memory and Neural Computing
- Embedded Systems Design Techniques
- Autoimmune and Inflammatory Disorders Research
- Ovarian function and disorders
- Viral gastroenteritis research and epidemiology
- EEG and Brain-Computer Interfaces
- Venous Thromboembolism Diagnosis and Management
- Advanced Battery Materials and Technologies
- MRI in cancer diagnosis
First Affiliated Hospital Zhejiang University
2021-2025
Hangzhou First People's Hospital
2025
Guangdong Provincial People's Hospital
2025
Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality
2025
Xinjiang Medical University
2025
Sir Run Run Shaw Hospital
2018-2024
Zhejiang University
2017-2024
Nanjing Medical University
2018-2024
Yichang Central People's Hospital
2023-2024
China Three Gorges University
2023-2024
This paper introduces a new architecture for circuit-based Physical Unclonable Functions (PUFs) which we call the Bistable Ring PUF (BR-PUF). Based on experimental results obtained from FPGA-based implementations of BR-PUF, quality this design is discussed in different aspects, including uniqueness and reliability. On basis observed complexity challenge-response behavior BR-PUFs, argue that could be promising candidate Strong PUFs. Our shows noticeable temperature sensitivity, but discuss...
Background Vessels encapsulating tumor cluster (VETC) is a critical prognostic factor and therapeutic predictor of hepatocellular carcinoma (HCC). However, noninvasive evaluation VETC remains challenging. Purpose To develop validate deep learning radiomic (DLR) model dynamic contrast‐enhanced MRI (DCE‐MRI) for the preoperative discrimination prognosis HCC. Study type Retrospective. Population A total 221 patients with histologically confirmed HCC stratified this cohort into training set ( n...
Employing selenocysteine-containing protein fragments to form the amide bond between respective significantly extends current capabilities of widely used engineering method, expressed ligation. Selenocysteine-mediated ligation is noteworthy for its high yield and efficiency. However, it has so far been restricted solid-phase synthesized seleno-peptides thus constrained by where selenocysteine can be positioned. Here we employ heterologously seleno-fragments overcome placement size...
Periodontitis is initiated by serious and sustained bacterial infection ultimately results in chronic immune-mediated inflammation, tissue destruction, bone loss. The pathogenesis of periodontitis remains unclear. Host immunological responses to periodontal bacteria determine the severity mechanisms governing progression. This study aimed clarify effect hypoxia-inducible factor-1α (HIF-1α) activator dimethyloxalylglycine (DMOG) on a mouse model its underlying role macrophage polarization....
Purpose Liver tumor segmentation is a crucial prerequisite for computer‐aided diagnosis of liver tumors. In the clinical tumors, radiologists usually examine multiphase CT images as these provide abundant and complementary information However, most known automatic methods extract features from merely single phase, in which valuable ignored. Therefore, it highly demanded to develop method effectively incorporating accurate segmentation. Methods this paper, we propose phase attention residual...
In this Internet of Things era, privacy preserving is one the most vital barriers for personal data sharing. article, we present a secure and privacy-preserving sharing protocol over permissioned blockchains which require to certificate users before they submit transactions. We use structure-preserving Groth signature construct anonymous credentials satisfying requirement blockchains, does not disclose real identities owners. prove that credential in our achieves ideal functionality. For...
Accurate preoperative prediction of microvascular invasion (MVI) and recurrence-free survival (RFS) is vital for personalised hepatocellular carcinoma (HCC) management. We developed a multitask deep learning model to predict MVI RFS using MRI scans.
Abstract In this paper, based on N -soliton solutions, we introduce a new constraint among parameters to find the resonance Y-type soliton solutions in (2+1)-dimensional integrable systems. Then, take Sawada–Kotera equation as an example illustrate how generate these with constraint. Next, by long wave limit method, velocity and module resonance, can obtain some types of hybrid solitons line waves, breather high-order lump waves respectively. Finally, also study dynamics interaction indicate...
The genusAnaplasma contains seven recognized bacterial species, mainly transmitted by tick bites. two A. phagocytophilum and capra, are known commonly to cause diseases in humans.Anaplasma bovis was initially thought be only an animal agent until the first patient case reported 2019. This study investigated another patients who became sick within one month same township were infected with Anhui Province.This suggested that more bovis-infected may exist this area anaplasmosis require early...
The incidence of ulcerative colitis (UC) is increasing annually. There are few treatments for UC patients, and some drugs have serious side effects. Sea cucumber peptide (SCP) has anti-inflammatory, antioxidant other biological activities, various sea species in pharmaceutical development. However, relevant studies on the effects SCP progression still lacking. In this study, a mouse model acute was induced by 3% dextran sulfate (DSS), effect 500 mg/kg investigated. results showed that can...
Multi-modal tumor segmentation exploits complementary information from different modalities to help recognize regions. Known multi-modal methods mainly have deficiencies in two aspects: First, the adopted fusion strategies are built upon well-aligned input images, which vulnerable spatial misalignment between (caused by respiratory motions, scanning parameters, registration errors, etc). Second, performance of known remains subject uncertainty segmentation, is particularly acute boundary To...
A fast responsive and two photon fluorescent probe (HCyNAc) for carboxylesterase (CaE) has been designed used the two-photon imaging of endogenous CaE level in living HeLa cells under 800 nm NIR excitation.
COVID-19 pneumonia is a disease that causes an existential health crisis in many people by directly affecting and damaging lung cells. The segmentation of infected areas from computed tomography (CT) images can be used to assist provide useful information for diagnosis. Although several deep learning-based methods have been proposed achieved state-of-the-art results, the accuracy still not high enough (approximately 85%) due variations (such as shape size variations) similarities between...
Abstract Background Luteolin, a common flavonoid in our daily diet, has potent anti-diabetic effects. However, its prognostic impact on type 2 diabetes mellitus (T2DM) is still uncertain. This study aimed to clarify this association. Methods In prospective cohort study, 2,461 patients with T2DM were included from the National Health and Nutrition Examination Survey. Dietary luteolin intake was estimated by amount of food consumed 24-hour dietary recall. All-cause cardiac mortality...
Abstract Background Karyotype 46, XY female disorders of sex development (46, DSD) are congenital conditions due to irregular gonadal or androgen synthesis function issues. Genes significantly influence DSD; however, the underlying mechanisms remain unclear. This study identified a Chinese family with DSD CUL4B gene. Methods The proband medical history and pedigree were investigated. Whole-exome sequencing was performed analyze different variations. Transiently transfected testicular...
EEG-based fatigue monitoring can effectively reduce the incidence of related traffic accidents. In past decade, with advancement deep learning, convolutional neural networks (CNN) have been increasingly used for EEG signal processing. However, due to data's non-Euclidean characteristics, existing CNNs may lose important spatial information from EEG, specifically channel correlation. Thus, we propose node-holistic graph network (NHGNet), a model that uses graphic convolution dynamically learn...